SHS Web of Conferences
Volume 19, 20152015 Chinese Youth’s Health Forum – Physiology, Psychology and Education (CYHF 2015)
|Number of page(s)||10|
|Published online||25 September 2015|
Dynamic Medical Material Distribution Model Based on Epidemic Diffusion Rule and Clustering Approach
1 Department of Electric Power Engineering, North China Electric Power University, 102206 Baoding Hebei, China
2 Department of Mathematics and Physics, North China Electric Power University, 102206 Baoding Hebei, China
a Corresponding author: email@example.com
Due to the fact that the dynamic medical material distribution is vital to the quick response to urgent demand when the Ebola virus occurs, the optimal distribution approach is explored according to the Ebola virus diffusion rule and different severity of the epidemic. First, we choose the more serious epidemic state of Sierra Leone in West Africa as the research object and the SIQR (susceptible, infected, quarantined, required) epidemic model with pulse vaccination is introduced to describe the Ebola diffusion rule and obtain the demanded vaccine and drug in each pulse. Based on the SIQR model, thirteen areas in Sierra Leone are classified into three emergency levels by clustering analysis. Then a dynamic medical material distribution model is formulated, with goals of both reducing the transportation cost and shortages. The results indicate that the proposed approach can make an outstanding contribution to fight against the Ebola virus.
Key words: the Ebola virus / SIQR model / clustering analysis / medical material distribution model
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.